scholarly journals Enhancing Healthcare through Detection and Prevention of COVID-19 Using Internet of Things and Mobile Application

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zeng Chen ◽  
Sangeen Khan ◽  
Muhammad Abbas ◽  
Shah Nazir ◽  
Kifayat Ullah
Keyword(s):  
Real Time ◽  
Rural Areas ◽  
Mobile Application ◽  
Close Contact ◽  
Android Application ◽  
Time Data ◽  
Location Services ◽  
Current Location ◽  
Pulse Sensor ◽  
The Social

The main symptoms of COVID-19 are high temperature, throat infection, and irregular heartbeat. An integrated wearable device has been presented in this paper for the measurement of temperature and heartbeat in real time using different sensors and NodeMCU ESP8266. For temperature, the DHT11 sensor is used and, for heartbeat, the pulse sensor is used. After reading the data from the sensors processed by NodeMCU ESP8266, it is sent to the firebase database using wireless connection (Wi-Fi module). From the database, the data are displayed in an android application. On the basis of certain conditions of the data, the user as well as the administrator is notified regarding the user’s current health. For the social distancing, an ultrasonic sensor is used. The sensor will warn the user, if he/she is in close contact with someone within a specified distance. The user’s current location is also tracked using the location services of android. A module named COVID-meter, based on the disease.sh-Open Disease Data API, was also included in the research for reading of real-time data of different countries related to COVID-19 like total cases, total deaths, total recovered patients, and so on. The proposed device can be used in both populated and rural areas, but in rural areas it will be much more important because people are unable to reach a doctor on time; thus, they can check their health conditions remotely using the proposed device.

IIOT and Real Time Data Analytics - Maximizing the Impact on Safety and Productivity

2021 ◽  
Author(s):  
Ryan Daher ◽  
Nesma Aldash
Keyword(s):  
Real Time ◽  
Case Studies ◽  
Data Analytics ◽  
Contact Tracing ◽  
Time Data ◽  
Seamless Integration ◽  
Location Services ◽  
Industrial Internet ◽  
Potential Applications ◽  
The Impact

Abstract With the global push towards Industry 4.0, a number of leading companies and organizations have invested heavily in Industrial Internet of Things (IIOT's) and acquired a massive amount of data. But data without proper analysis that converts it into actionable insights is just more information. With the advancement of Data analytics, machine learning, artificial intelligence, numerous methods can be used to better extract value out of the amassed data from various IIOTs and leverage the analysis to better make decisions impacting efficiency, productivity, optimization and safety. This paper focuses on two case studies- one from upstream and one from downstream using RTLS (Real Time Location Services). Two types of challenges were present: the first one being the identification of the location of all personnel on site in case of emergency and ensuring that all have mustered in a timely fashion hence reducing the time to muster and lessening the risks of Leaving someone behind. The second challenge being the identification of personnel and various contractors, the time they entered in productive or nonproductive areas and time it took to complete various tasks within their crafts while on the job hence accounting for efficiency, productivity and cost reduction. In both case studies, advanced analytics were used, and data collection issues were encountered highlighting the need for further and seamless integration between data, analytics and intelligence is needed. Achievements from both cases were visible increase in productivity and efficiency along with the heightened safety awareness hence lowering the overall risk and liability of the operation. Novel/Additive Information: The results presented from both studies have highlighted other potential applications of the IIOT and its related analytics. Pertinent to COVID-19, new application of such approach was tested in contact tracing identifying workers who could have tested positive and tracing back to personnel that have been in close proximity and contact therefore reducing the spread of COVID. Other application of the IIOT and its related analytics has also been tested in crane, forklift and heavy machinery proximity alert reducing the risk of accidents.

scholarly journals Implementation of a Location Services Based Android Application and Accompanying Server Backend

2021 ◽  
Vol 15 (3) ◽  
pp. 310-317
Author(s):  
Kristijan Lukaček ◽  
Matija Mikac ◽  
Miroslav Horvatić
Keyword(s):  
Mobile Applications ◽  
Mobile Application ◽  
Web Application ◽  
Smart Phone ◽  
Location Information ◽  
Android Application ◽  
Location Services ◽  
Textual Data ◽  
Android Operating System ◽  
The Web

This paper is focused on the usage of location services in mobile applications that were developed for the purpose of reporting different events that are based on their location. The event that is intended to be generic and universal can, as in examples used in this paper, be the reporting of some occurrence to a city’s communal affairs office. Such a generic event can include both multimedia and textual data, in addition to location information obtained using mobile device running the app. The software solution that is described in this paper consists of a mobile application that was developed for the Android operating system and a web application that includes a series of PHP scripts that run on a dedicated server. The web application consists of a backend scripts that facilitate the communication of a smart phone and the server and frontend related scripts used by users and administrators to access and check the data and process the reported events.

scholarly journals Research on Security Framework of Mobile Application in Dispatch and Control Domain of Power Grid

2018 ◽  
Vol 173 ◽  
pp. 02029
Author(s):  
XU Jiahui ◽  
YU Hongyuan ◽  
WANG Gang ◽  
WANG Zi ◽  
BAI Jingjie ◽  
...  
Keyword(s):  
Real Time ◽  
Mobile Application ◽  
Power Grid ◽  
Rapid Development ◽  
Mobile Internet ◽  
Internet Technology ◽  
Security Framework ◽  
Time Data ◽  
Real Time Data ◽  
And Control

The rapid development of mobile Internet technology and the wide spread of smart terminals have brought opportunities for the transformation of power grid business model. Compared to the non-real-time information, the real-time and running data of dispatch and control domain is easy to be intercepted and cracked. To solve this problem, this paper presents a new approach to mobile application security framework for the power grid control field. It is to realize secondary encryption by using the method of MD5+AES mixed encryption algorithm and combining the time stamp in real-time data transmission process. At the same time it is to prevent cross-border operations and brute force by using Token authentication and Session technology. China EPRI safety test results show that the application of the framework significantly improves the integrity, safety and reliability of real-time data in power grid control.

scholarly journals Prototype development for real-time epilepsy seizures detector using three parameters

2018 ◽  
Vol 250 ◽  
pp. 07002
Author(s):  
Joyce S. Y. Sia ◽  
Lai Z. Huan ◽  
Lam S. Kit ◽  
Liong C. Ling ◽  
Ghazali N. Effiyana
Keyword(s):  
Real Time ◽  
Skin Conductance ◽  
Temperature Sensor ◽  
Mobile Application ◽  
Text Message ◽  
Prototype Development ◽  
The People ◽  
Pulse Sensor ◽  
Skin Response ◽  
To Receive

This paper proposes a prototype for real-time epilepsy seizures detection using skin conductance, temperature and sense movement. This proposed work is expected to help epilepsy patients to receive immediate help from the people around when seizures happen. This prototype is wearable and developed using Arduino Nano, Galvanic Skin Response (GSR) sensor, accelerometer, temperature sensor and pulse sensor. Epilepsy patients can wear this prototype just like a watch. The prototype is connected to the mobile application via Bluetooth and can alert the people around by buzzing alarm as well as sending text message to the doctor or family member. Details development and results are discussed in this paper.

scholarly journals Smart Phone based Vehicle Tracking System

2021 ◽  
Vol 9 (VI) ◽  
pp. 1098-1100
Author(s):  
Sai Sri Harsha WV
Keyword(s):  
Tracking System ◽  
Smart Phone ◽  
Vehicle Tracking ◽  
Current Status ◽  
Android Application ◽  
Time Data ◽  
Know How ◽  
Metropolitan Cities ◽  
Current Location ◽  
Vehicle Tracking System

In the busy metropolitan cities like Hyderabad, Mumbai, Delhi, people don't have time to invest in waiting for transport. Waiting time for transport in such crowded cities leads to less productivity on a whole. People face this problem in their daily life where they have no idea about the current status of their transport. So, the proposed solution is an android based application that will help the user to check out the current location of the bus and also will help the user to know how much time the bus will take to reach the current location of the user. The system will use GPS as the basis for the application and basic android application will be interfacing with the updated database to provide the real-time data to the user, hence enhancing the user-experience.

scholarly journals Sistem Monitoring Frekuensi Denyut Nadi pada Pelari Menggunakan Metode Photoplethysmographic

2021 ◽  
Vol 8 (6) ◽  
pp. 1255
Author(s):  
Asih Setiarini ◽  
Mahatma Widya Laksana ◽  
Basuki Winarno
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Heart Attack ◽  
Heart Beat ◽  
Android Application ◽  
Data Logger ◽  
Organized Sport ◽  
Pulse Sensor ◽  
The World ◽  
Error Of Measurement

<p class="Abstract">Lari merupakan olahraga yang efektif untuk membakar kalori. Namun, olahraga ini mempunyai dampak negatif bagi pelari yang mampu memicu serangan jantung sehingga dibutuhkan alat kesehatan untuk mendeteksi frekuensi denyut nadi saat berlari. Tujuan penelitian ini merancang sistem monitoring frekuensi denyut nadi secara real time pada pelari dengan menggunakan easily plugin pulse sensor berbasis photoplethysmographic. Sensor tersebut terdiri atas transmitter dan receiver infrared yang dipasang pada ujung jari tengah yang mana melalui jaringan kulit mampu mendeteksi volume darah. Fitur buzzer digunakan sebagai alarm jika denyut jantung mencapai 170 Beat Per Minute (BPM). Alat ini juga dilengkapi dengan aplikasi Android yang memudahkan pihak lain memonitoring keadaan denyut nadi pelari. Bluetooth HC-05 sebagai modul komunikasi data antara Arduino dan Android. Alat yang dirancang memiliki error maksimum sebesar 0,73% berdasarkan data percobaan dari 5 partisipan. Berdasarkan hasil pengujian, sistem monitoring frekuensi denyut nadi secara real time mampu mendeteksi serangan jantung saat berlari dan adanya fitur data logger digunakan untuk rekap medis keadaan frekuensi denyut jantung saat berlari tanpa menggunakan aplikasi smartphone Android.</p><p class="Abstract"> </p><p class="Abstract"><em><strong>Abstract</strong></em></p><p class="Judul2"><em>Running is the most popular workout around the world, because the most accessible, the cheapest and organized sport. However, running is dangerous in people suffering from heart disease. Hence, the medical device to detect heart failure for runners is required. In this paper, a monitoring system and data logger for detecting heart pulse by using easily plugin pulse sensor heart beat and its implementation for runners is newly proposed. The proposed method of sensor to detect the heart beat by using Photoplesthymograph principle. The sensor consists of transmitter and receiver infrared through to skin tissue to detect the blood volume. Different to previous work, the proposed device can be real time to monitor runners while running and have alarm when their heart beat reach 170 BPM. This device is also equipped with an Android application that facilitate other parties to monitor the runner’s heart beat. By using OMRON HEM-7203 as comparison devices, the rate error of measurement result is 0,086% within 5 participans. The proposed device is suitable for heart pulse monitoring system for runners in real time to reduce the heart attack while running.</em><em> </em></p><p class="Abstract"><em><strong><br /></strong></em></p>

scholarly journals Artificial Intelligence assisted Prediction of COVID-19 Hotspots in Third Wave using EHTERAZ

2021 ◽  
Author(s):  
Mustafa Ahmed ◽  
Mohammed Houkan ◽  
Kishor Kumar Sadasivuni
Keyword(s):  
Artificial Intelligence ◽  
Real Time ◽  
Mobile Technology ◽  
Hot Spots ◽  
Mobile Application ◽  
Local State ◽  
Third Wave ◽  
Time Data ◽  
Policy Makers ◽  
Real Time Data

The present study conceptualizes fusion of artificial intelligence and contract tracking mobile application for predicting the COVID-19 hot spots. The findings suggest that mobile technology can be used to provide real-time data on the national and local state of the pandemic, enabling policy makers to make informed decisions in a quickly moving pandemic.

scholarly journals Syndromic surveillance and its utilisation for mass gatherings

2018 ◽  
Vol 147 ◽  
Author(s):  
A.C. Berry
Keyword(s):  
Real Time ◽  
Mobile Application ◽  
Syndromic Surveillance ◽  
Optimal Combination ◽  
Mass Gathering ◽  
Time Data ◽  
Mass Gatherings ◽  
Epidemiologic Data ◽  
Indirect Impact ◽  
Global Agreement

AbstractTremendous advancements in syndromic surveillance strategies over the last two decades, and specifically from prior mass gatherings, have been incorporated into day-to-day healthcare analysis worldwide and have left a lasting indirect impact since their inception. Mass gatherings are a daily occurrence worldwide and provide a scenario ripe for public health aims and objectives utilising syndromic surveillance. Europe is less than a decade away from hosting a colossal worldwide gathering (2024 Summer Olympics) in likely a time when the global agreement is in flux. A call to arms is needed for additional surveillance strategies incorporating mobile application symptom checker data, telemedicine, social media and social data sensing. There remains a need for an optimal combination of real-time data sensing that captures the whole population, but to reach that goal we must incorporate new advancements into baseline epidemiologic data monitoring, otherwise we will be tracking real-time mass gathering events on top of inaccurate baseline epidemiologic data.

scholarly journals AR Amenity Perceiver

2020 ◽  
Vol 8 (5) ◽  
pp. 2847-2850
Keyword(s):  
Augmented Reality ◽  
Object Detection ◽  
Real Time ◽  
User Experience ◽  
Mobile Application ◽  
Furniture Industry ◽  
Android Application

The major problem in the Furniture industry is choosing the appropriate furniture for the residence or office. The users are feeling difficult to visualize furniture from a catalog and so changing the furniture textures after purchase would be inconvenient. What: Our solution is a powerful mobile application to render 3D Furniture models into augmented reality. This application features AR experience of the Furniture in reality. The inspiration driving this investigation is to consider and develop an android application called 'AR Amenity Perceiver' with the usage of Augmented Reality advancement for structure and improvement that will help users with envisioning how furniture pieces will look and fit in their homes and besides can give nuances of things to help customer decision. How: The application supports plane and object detection to place and track Furniture in real time. Since the application is built with React Native, it is platform independent and supports real time stutter less object rendering. Why: The client can utilize View in Room 3D mode to envision the furnishings or stylistic theme components in the encompassing space with the assistance of AR. This allows users to check out the Furniture with available texture options and thus making the user experience more realistic before buying

Sign in / Sign up

Export Citation Format

Share Document